Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Seol-Hyun Noh"'
Autor:
Seol-Hyun Noh, Hyeun Jun Moon
Publikováno v:
Buildings, Vol 14, Iss 5, p 1392 (2024)
In countries like Japan, Australia, France, Denmark, and South Korea, the numbers of single-person households and older adults living alone have been steadily increasing each year, leading to the social issue of lonely deaths among older adults. Agai
Externí odkaz:
https://doaj.org/article/d8ff2838c3384aa49f2fe618e6f68ea2
Autor:
Seol-Hyun Noh, Hyeun Jun Moon
Publikováno v:
Buildings, Vol 13, Iss 11, p 2886 (2023)
This study focuses on gathering environmental data concerning the indoor climate within a dormitory, encompassing variables such as air temperature, relative humidity, CO2 concentration, fine dust concentration, illuminance, and total volatile organi
Externí odkaz:
https://doaj.org/article/79071170c17c4f32b5273ac58386fa77
Autor:
Seol-Hyun Noh
Publikováno v:
Informatics, Vol 9, Iss 4, p 77 (2022)
With advances in science and technology and changes in industry, research on promising future technologies has emerged as important. Furthermore, with the advent of a ubiquitous and smart environment, governments and enterprises are required to predi
Externí odkaz:
https://doaj.org/article/63d57b085daa44e3ab714c8cc2212bbf
Autor:
Seol-Hyun Noh
Publikováno v:
Information, Vol 12, Iss 11, p 442 (2021)
A recurrent neural network (RNN) combines variable-length input data with a hidden state that depends on previous time steps to generate output data. RNNs have been widely used in time-series data analysis, and various RNN algorithms have been propos
Externí odkaz:
https://doaj.org/article/c707bedefb6643e791954367081254ca
Autor:
Seol-Hyun Noh
Publikováno v:
Informatics, Vol 8, Iss 3, p 53 (2021)
Convolutional neural networks (CNNs) are widely used among the various deep learning techniques available because of their superior performance in the fields of computer vision and natural language processing. CNNs can effectively extract the localit
Externí odkaz:
https://doaj.org/article/394aa58bcf8b424a92d40bf36b9c748a
Autor:
Seol-hyun Noh
Publikováno v:
Journal of KIISE. 48:100-106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31b7ae2c0d30367debb14dfc98469a4c
https://doi.org/10.5626/jok.2021.48.1.100
https://doi.org/10.5626/jok.2021.48.1.100
Autor:
Seol-hyun Noh
Publikováno v:
Journal of Digital Contents Society. 21:551-560
본 연구는 국내의 4차 산업혁명과 관련된 기사들을 LDA 알고리즘에 기반한 토픽모델링 기법으로 분석하여 4차 산업혁명 관련 주요 이슈들을 도출하고 세부적으로 분석함으로써 이미 우리에
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc1d89a3886aa4502f4b1d34b3b8196d
https://doi.org/10.9728/dcs.2020.21.3.551
https://doi.org/10.9728/dcs.2020.21.3.551
Autor:
Seol-Hyun Noh
Publikováno v:
Sustainability; Volume 15; Issue 6; Pages: 4794
Forecasts of corporate defaults are used in various fields across the economy. Several recent studies attempt to forecast corporate bankruptcy using various machine learning techniques. We collected financial information on 13 variables of 1020 compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6aceb5566da1e3063d8426525bee3ed
https://doi.org/10.3390/su15064794
https://doi.org/10.3390/su15064794